Director of AI Engineering

Ardham Technologies

8h

About The Position

The AI Engineer will play a key role in developing Ardham Technologies' artificial intelligence capabilities, with a dual focus on improving internal operations and creating innovative AI solutions for our clients. This position will design, develop, deploy, and optimize AI-powered applications, intelligent agents, automation workflows, and machine learning solutions that solve real-world business challenges. The AI Engineer will initially work across Ardham's internal departments to identify opportunities where AI can improve efficiency, automate repetitive processes, enhance decision-making, and create measurable business value. Successful solutions and lessons learned will help shape Ardham's broader AI strategy and the development of AI capabilities that can be delivered to clients. This is a hands-on engineering and consulting role. The ideal candidate combines strong technical expertise in Generative AI, Large Language Models (LLMs), agentic AI, machine learning, cloud infrastructure, and MLOps with the ability to understand business processes and translate business needs into practical technology solutions. As Ardham's AI capabilities continue to grow, this individual will have the opportunity to help influence the technologies, standards, architecture, security practices, and service offerings that define the company's AI practice.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related technical field.
• 4+ years of professional experience in software engineering, machine learning engineering, AI development, or a closely related discipline.
• Demonstrated experience developing and deploying AI or machine learning applications in production environments.
• Strong programming experience with Python and SQL.
• Hands-on experience working with Generative AI, Large Language Models, and modern AI development frameworks.
• Experience developing cloud-native applications and working with enterprise cloud infrastructure.
• Experience integrating AI solutions with databases, APIs, and existing business applications.
• Strong understanding of software development principles, system architecture, and application performance optimization.

Responsibilities

• Design, develop, test, and deploy AI and machine learning solutions that address business and operational challenges.
• Build and implement Generative AI applications using Large Language Models (LLMs) and modern AI development frameworks.
• Develop intelligent AI agents and multi-agent systems capable of automating complex business processes and workflows.
• Design and implement Retrieval-Augmented Generation (RAG) solutions to improve AI accuracy and access to enterprise knowledge.
• Develop AI-powered applications that integrate with existing enterprise systems, databases, and APIs.
• Evaluate and optimize AI models for performance, scalability, accuracy, and cost efficiency.
• Research emerging AI technologies and recommend practical applications for internal operations and client environments.
• Develop and maintain LLM-powered applications using frameworks such as LangChain, LangGraph, Google ADK, or similar technologies.
• Design agentic AI architectures supporting autonomous task execution, intelligent decision-making, and workflow orchestration.
• Implement semantic search, vector databases, embeddings, and knowledge retrieval systems.
• Build AI solutions capable of interpreting natural-language requests and interacting with structured and unstructured data.
• Integrate AI models with enterprise applications through APIs, Model Context Protocol (MCP), and other integration methods.
• Develop and maintain appropriate controls, validation processes, and monitoring to ensure AI-generated outputs meet business requirements.
• Evaluate emerging AI platforms, frameworks, and development tools for potential adoption.
• Design, train, evaluate, and deploy machine learning models using modern development frameworks.
• Develop and optimize data pipelines supporting AI model training, inference, and analytics.
• Work with structured and unstructured datasets to identify patterns, automate analysis, and support predictive capabilities.
• Implement data preprocessing, feature engineering, and model evaluation techniques.
• Optimize model inference performance, processing efficiency, and resource utilization.
• Collaborate with data engineering and infrastructure teams to ensure reliable access to enterprise data.
• Support the development of scalable AI solutions capable of processing large datasets and complex workloads.
• Collaborate with internal stakeholders and clients to identify opportunities where AI can improve operational efficiency and business outcomes.
• Translate business requirements into practical AI solutions and technical implementation plans.
• Participate in technical discovery sessions, solution design discussions, and project planning activities.
• Develop proof-of-concept applications and demonstrations to validate proposed AI solutions.
• Partner with engineering, managed services, cybersecurity, and project management teams to support successful deployments.
• Communicate technical concepts, project progress, and recommendations to technical and nontechnical audiences.
• Provide technical guidance on AI capabilities, limitations, implementation considerations, and operational requirements.
• Assist with evaluating the business impact and return on investment of AI initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Director